Real-time Stream Processing and Visualization Using Kafka, Storm, and d3.js

Justin Langseth (Zoomdata, Inc.), Byron Ellis (Spongecell)
Data Science Ballroom AB
Average rating: ***..
(3.83, 6 ratings)

Learn how LivePerson and Zoomdata perform stream processing and visualization on mobile devices of structured site traffic and unstructured chat data in real-time for business decision making. Technologies include Kafka, Storm, and d3.js for visualization on mobile devices. Byron Ellis, Data Scientist for LivePerson will join Justin Langseth of Zoomdata to discuss and demonstrate the solution.

Photo of Justin Langseth

Justin Langseth

Zoomdata, Inc.

Justin is CEO of Zoomdata, Inc. Prior to Zoomdata, Justin was the co-founder of Clarabridge and the inventor of Clarabridge’s award-winning, patented, text analytics software.

Prior to Clarabridge, Justin co-founded and was CTO of Claraview, a BI strategy and technology consultancy, which was sold to Teradata in 2008. Before founding Claraview, Justin served as founder and CTO of Strategy.com, a real-time data analysis and alerting subsidiary of MicroStrategy.

Prior to launching Strategy.com, he was a technology program manager and consultant at MicroStrategy, designing the second-generation web-based BI tool for MicroStrategy, and working with large customers on their BI deployments.

In the early 1990′s Justin was active in the BBS community, and he authored and marketed the EIS-PC BBS system. Justin is an expert in text mining, specifically related to integration of unstructured content. He currently holds seven technology patents. He graduated from the Massachusetts Institute of Technology where he received an SB in Management of Information Technology from the MIT Sloan School of Management.

Photo of Byron Ellis

Byron Ellis

Spongecell

Byron joined LivePerson in April as Chief Data Scientist where he works on improving LivePerson’s intelligent targeting solutions and developing new data products. Prior to joining to LivePerson he spent over 4 years at adBrite, an online advertising exchange, where he held a number of roles related to leveraging the large amount of data generated by adBrite’s exchange. He holds a PhD in Statistics from Harvard University where he studied structure learning for Bayesian Networks with applications to the Life Sciences.

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Fred Morris
03/05/2013 9:38pm PST

Where are the slides?

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